class_docstr: Human solver which uses the CLI. This only makes sense with EVALS_SEQUENTIAL=1
code: def _produce_scratchpad(self, prompt: Sequence[Dict]):
      prompt += [{"role": "system", "content": SCRATCHPAD_MSG}]
      result = self._predict_answer(prompt)
      prompt += [{"role": "assistant", "content": result}]
      return prompt
  
imports: import os
  from abc import abstractmethod
  from typing import Any, Dict, Sequence
  from evals.completion_fns.openai import OpenAIChatCompletionFn
  from evals.elsuite.sandbagging.defaults import SANDBAGGING_IMPROVED_GPT_4, SANDBAGGING_IMPROVED_GPT_35, SANDBAGGING_SIMPLE, SANDBAGGING_SUBSET_SIMPLE, SCRATCHPAD_MSG, SCRATCHPAD_QUESTION_MSG
  from evals.solvers.solver import Solver, SolverResult
  from evals.task_state import TaskState
label_desc: Use image node_id 3 for calling the CLISolver obj's underlying member method code with example usage: obj._produce_scratchpad(prompt) and returns: prompt